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Incorporating environment and PreDicta-B pathogen levels to improve disease prediction in Western Australia

Poole, G.J., Harries, M., Hüberli, D., Miyan, M., MacLeod, W. and McKay, A. (2012) Incorporating environment and PreDicta-B pathogen levels to improve disease prediction in Western Australia. In: 7th Australasian Soilborne Diseases Symposium, 17 - 20 September, Fremantle, Western Australia.

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    Abstract

    PreDicta-B is a soil-based DNA assay that detects and quantifies soil-borne pathogen levels prior to planting of grain crops. Disease is a result of the interaction between pathogen levels, host, and the environment. In the past, predictions of environment were not included in predictions of risk categories from the DNA test. In 2010 and 2011 surveys were conducted in Western Australia to assess several variables including soil-borne levels of the pathoens Rhizoctonia solani (AG8). Gaumanomyce graminis var tritici, Bipolaris sorokiniana. Fusarium pseudograminearum. F. culmorum, Pratylenchus neglectus, P. thornil and P. teres. Initial correlations between soil DNA levels of the pathogen and in-crop disease assessments were weak. so the effects of environment (temperature, precipitation and soil) were investigated and found to have a significant effect on in-crop root disease levels. A model that utilizes a logistical regression of environmental parameters with soil DNA and in-crop disease levels was developed for all of the aforementioned soil-pathogens and will be applied to future data sets to validate the model. This model will be used to develop regional soil-borne disease risk categories to enable researchers to better understand the role of environn4nt in root disease complexes in the field and for rovers to make more informed management decisions.

    Publication Type: Conference Item
    Notes: In: MacLeod W.J. (ed) Proceedings of the Seventh Australasian Soilborne Diseases Symposium, pp 36
    URI: http://researchrepository.murdoch.edu.au/id/eprint/10890
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